Job Description
Description
AI & Process Optimization in Engineering.
Suitable for BSc and MSc in Engineering, Data Science, Computer Science, or similar
We are looking for a motivated student to explore, identify, and implement opportunities to integrate AI into our engineering processes.
This role is intentionally open-ended:
You will not only support existing tasks but actively shape how AI can be used within our organization.
Your Mission
We do not yet have all the answers — and that’s exactly where you come in.
We are looking for someone who is eager to explore, challenge the status quo, and help us discover how AI can fundamentally improve the way we work.
Your tasks:
Analyze current engineering processes and identify automation potential;
Research and evaluate AI tools, models, and technologies relevant to engineering workflows;
Identify high-impact use cases for AI (e.g., calculations, data processing, documentation);
Develop initial concepts, prototypes, or workflows using AI solutions;
Collaborate with engineering and management teams to validate ideas;
Provide recommendations on how to scale and implement AI solutions in practice.
Requirements
Who are you?
Currently enrolled student (e.g., Engineering, Data Science, Computer Science, or similar);
Strong interest in AI and its practical application in industry;
Analytical thinking and a structured, solution-oriented approach;
Ability to work independently and explore new topics with curiosity;
Basic knowledge of programming (e.g., Python) or AI tools is a plus, but not required;
Good communication skills in English (German is a plus).
What do we offer?
Monthly fixed fee of € 500 based on 40 hours per week
Interesting international environment only a 5-minute walk from the ‘Kennispark’ train station in Enschede;
A dynamic, energetic, passionate young team;
Flexibility in working from home / office;
A unique opportunity to actively shape the future use of AI in a growing company;
High degree of freedom and responsibility;
Hands-on experience at the intersection of engineering and AI;
Direct collaboration with decision-makers;
Flexible working hours, compatible with your studies.
Interested?
Please apply using the apply button. General questions can be addressed to Bart Berteler, internship coördinator at [email protected].
